Open-source skills for designing and reviewing software with AI agents
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- spec-driven-development
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Open-source skills for designing and reviewing software with AI agents
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claude to generate and manage its own tools, continuously expanding its capabilities through conversation. Available both as a CLI and a modern web interface
[CVPR 2024] Official repository for "MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model"
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Build, Manage and Deploy AI/ML Systems
A framework to enable a multimodal model to operate a computer.
Translated[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. An open-source multimodal dialogue model with performance close to GPT-4o
Bayesian Modeling and Probabilistic Programming in Python
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
Blender addons to make the bridge between Blender and geographic data
Deep universal probabilistic programming with Python and PyTorch
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
A collection of libraries to optimise AI model performances
Largest list of models for Core ML (for iOS 11+)
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
Open-source offline translation library written in Python
Uplift modeling and causal inference with machine learning algorithms
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
TranslatedMedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. Training medical large models, implementing incremental pre-training (PT), supervised fine-tuning (SFT), RLHF, DPO, ORPO, and GRPO.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.